flâneur — a map of the web's best reading

RL Scaling Laws for LLMs - by Cameron R. Wolfe, Ph.D.

cameronrwolfe.substack.com · 12,775 words · saved by 1 readers

How scaling laws have evolved from pretraining to reinforcement learning...

RL Scaling Laws for LLMs How scaling laws have evolved from pretraining to reinforcement learning... Cameron R. Wolfe, Ph.D. Apr 20, 2026 129 17 Share (from [1, 2, 3]) Scaling is one of the most impactful concepts in the history of AI research. For large language models (LLMs), scaling has mostly been studied in the context of pretraining, where rigorous scaling laws have allowed us to clearly define the relationship between compute and performance. Inspired by these predictable trends, the LLM research community has empirically validated pretraining scaling laws across several orders of magni

Explore this link on the map →

saved by

related reading